Aggarwal JK, Nandhakumar N (1988) On the computation of motion from a sequence of images: A review. In: Proceedings of the IEEE, vol Home/Search Document Not in Database Summary Related Articles Check |
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Multiple Multistage Hypothesis Tests: A Sequential Detection.. - Richardson (Correct)
....rapidly time varying background, target occlusion and or sudden changes in local or global illumination. Three Dimensional Rigid Body Motion Estimation Researchers in computational vision have been studying the problem of estimating three dimensional motion from a sequence of images, intensively [1, 3, 4, 55]. Although the objects of interest are typically quite large (greater than 80 pixels) there is an extensive body of research in three dimensional rigid body motion estimation [55 58] which assumes the prior existence of a set of feature point correspondences. These algorithms can compute the ....
.... have been studying the problem of estimating three dimensional motion from a sequence of images, intensively [1, 3, 4, 55] Although the objects of interest are typically quite large (greater than 80 pixels) there is an extensive body of research in three dimensional rigid body motion estimation [55 58] which assumes the prior existence of a set of feature point correspondences. These algorithms can compute the three dimensional motion of a rigid body given the location of known feature points in each image of a sequence. The detection and tracking of these feature points is suitable for ....
J.K. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images - a review. Proc. IEEE, 76(8):917--935, 1988.
MDL estimation of a dense map of relative depth and 3D.. - Mitiche, Hadjres (2003) (Correct)
....This is the case with the recovery of depth from an image spatiotemporal changes; one speaks, here, of a temporal sequence of images or, simply, an image sequence. 3D interpretation from a sparse set of image displacements, or binocular correspondences, has been extensively researched [2,3] and several textbooks have been written on the subject [4 6] # dense interpretation can be obtained via dense estimation of disparity [1,7] or directly without prior estimation of disparity [8,9] In either case, the epipolar constraint affords a major economy of search for an estimate. 3D ....
Aggarwal JK, Nandhakumar N (1988) On the computation of motion from a sequence of images: A review. In: Proceedings of the IEEE, vol
Recursive 3-D Motion Estimation from a Monocular Image.. - Lin Zhao Robert (Correct)
....the 3 D motion and structure of a rigid object from image sequences is a fundamental problem in applications such as target recognition, reconnaissance, visionbased servoing, and computer graphics. The main approaches to 3 D trajectory estimation have usually exploited either point features [2] or optical flow [3] independently. In feature based approaches, 3 D motion and structure are estimated by observing the 2 D positions of a set of relatively sparse set of image features (corners, lines, regions, etc. over two or more time sequential images. In contrast, optical flow based ....
J. K. Aggarwal and N. Nandhakumar, "On the Computation of Motion from Sequences of Images -- A Review", Proceedings of the IEEE, vol. 76, no. 8, pp. 917--935, 1988.
Positioning a Camera With Respect to Planar Objects of.. - Collewet, Chaumette (2002) (Correct)
....Cedex, France (e mail: christophe.collewet cemagref.fr) F. Chaumette is with IRISA INRIA Rennes, 35042 Rennes Cedex, France (e mail: chaumett irisa.fr) Publisher Item Identifier S 1042 296X(02)05948 7. be used in our case. The second approach is based on 3 D reconstruction by dynamic vision [9] [11] This method uses the displacement of the camera and the 2 D motion computed from the image sequence, but it still does not provide accurate results related to the reconstruction errors. On the other hand, active vision [12] 19] includes strategies to select the motion of the camera to ....
J. K. Aggarwal and N. Nandhakumar, "On the computation of motion from sequences of images, a review," Proc. IEEE, vol. 76, pp. 917--935, Aug. 1988.
Reliable and Efficient Image Registration - Vemuri Huang Sahni (1997) (Correct)
....and important problem in diverse fields such as medical imaging, computer vision, art, entertainment etc. The problem of registering two images, be they 2D or 3D, is equivalent to estimating the motion between them. There are numerous motion estimation algorithms in the computer vision literature [1, 3, 8, 10, 12] that could potentially be applied to the problem of registration of volume images specifically, MR brain scans which is the topic of focus in this paper. We draw upon this large body of literature of motion estimation techniques for problem formulation but develop a new numerical algorithm for ....
J. K. Aggarwal and N. Nandhakumar. On the computation of motion from a sequences of im- ages - a review,. Proc. of the IEEE,, 76((8)):917- 935, 1988.
Compressed Domain Video Resolution Enhancement: Use of.. - Kaulgud, Karlekar, Desai (Correct)
....3 for temporal video zooming (frame interpolation) and finally section 5 presents the experimental results. 2 Video Compression Technique A large number of motion estimation algorithms have been proposed in literature. A good review of motion estimation is presented by Aggarwal and Nandhakumar [1]. Comparison of different motion estimation techniques are compiled by Dufuax et al. [4] and Hand [6] The book by Konstanides and Bhaskaran [2] provides an excellent treatment on DCT based video compression techniques (for example, H.263, MPEG 1, MPEG 2, etc) Thus we forego the details. 2.1 ....
J. K. Aggarwal and N. Nandhakumar. "On computation of motion from sequence of images- A review ". Proc. of IEEE, 76:917--935, Aug 1988.
Three Dimensional Model Based Rigid Tracking - Sarris, Makris, Strintzis (1999) (Correct)
....and their reliability considering the orientation of the 3D normal vector of the corresponding node in the previous frame. Having a set of 2D feature points at our disposal many are the methods which have been proposed for the computation of the 3D motion parameters (R, T) of the face model [2], and their accuracy in the solution depends highly on the reliability of the given feature correspondences. Having ensured from the previous step that the selected feature correspondences are the best possible for the given tracking method we employ the method proposed in [5] and [6] enhanced to ....
J.K. Aggarwal, N. Nandhakumar, "On the Computation of motion from Sequences of Images -- A Review", IEEE Proc, Vol 76, No8, August 1988, pp. 917-935.
Using a 3-D Shape Model for Video Coding - Chang, Eisert, Girod (2002) (Correct)
.... salient feature points on the object and establishing correspondences for the key frames, classical structure from motion algorithms can be applied to simultaneously estimate the 3 D positions of feature points as well as the object poses (or the relative camera poses) at the key frames [7]. A triangle mesh of the shape model S is constructed from the feature points, and object poses p nd at the key frames can be used to initialize the process for estimating object motion at every frame as will be described in Section 2.2. Note that in this work, we have selected the feature points ....
J. K. Aggarwal and N. Nandhakumar, "On the computation of motion from sequences of images -- a review," Proceedings of the IEEE, vol. 76, no. 8, August 1988.
Pattern Anal Applic (2003) 6: 78--87 - Doi Original Article (2003) (Correct)
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Aggarwal JK, Nandhakumar N (1988) On the computation of motion from a sequence of images: A review. In: Proceedings of the IEEE, vol
Visual Motion Estimation based on - Motion Blur Interpretation (Correct)
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J. K. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images-a review. Proceedings of the IEEE, 76(8):917--935, August 1988.
Data-driven Multi-frame 3D Motion Estimation - Eckehard Steinbach Subhasis (Correct)
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J.K. Aggarwal and N. Nandhakumar, "On the Computation of Motion from Sequences of Images - A Review, " Proc. IEEE, vol. 7b, no. 8, pp. 917-935, August 1988.
Accuracy Limits for 3-D Rigid Body Motion Estimation - Under Perspective Projection (Correct)
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J.K. Aggarwal and N. Nandhakumar, "On the Computation of Motion from Sequences of Images - A Review, " Proc. IEEE, vol. 7b, no. 8, pp. 917-935, August 1988.
An Image-Domain Cost Function for 3-D Rigid Body Motion.. - Eckehard Steinbach And (2000) (Correct)
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J. K. Aggarwal and N. Nandhakumar, "On the Computation of Motion from Sequences of Images - A Review," Proc. of the IEEE, vol. 7b, no. 8, pp. 917-935, August 1988.
Geodesic Active Regions and Level Set Methods for Motion.. - Paragios, Deriche (2005) (1 citation) (Correct)
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J. Aggarwal, N. Nandhakumar, On the computation of motion from sequences of images---a review, Proc. IEEE (1988) 917--935.
Estimating Correspondence In Digital Video - Richard Radke Vitali (2001) (Correct)
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J.K. Aggarwal and N. Nandhakumar. On the Computation of Motion from Sequences of Images- A Review. Proc. IEEE, Vol. 76, No. 8, pp. 917-935, August 1988.
Positioning a Camera With Respect to Planar Objects of.. - Servoing And Estimations (2002) (Correct)
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J. K. Aggarwal and N. Nandhakumar, "On the computation of motion from sequences of images, a review," Proc. IEEE, vol. 76, pp. 917--935, Aug. 1988.
Robust and Multiresolution Video Delivery: From H.26x to.. - Frossard (2000) (1 citation) (Correct)
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Aggarwal J.K. and Nandhakumar N., On the computation of motion from sequences of images - a review, Proceedings of the IEEE,vol. 76, pp. 917935, August 1988.
Exploring the Practical Limits of Optical Flow - Barnum, Hu, Brown (2003) (Correct)
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J. K. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images - A review. Proceedings of the IEEE, 76(8):917--935, 1988.
Robust Computer Vision: Theory and Applications - Sebe, Lew (Correct)
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J.K. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images - A review. Proceedings of IEEE, 76(8):917--933, 1988.
Motion-Based Analysis and Segmentation of Image.. - Steinbach, Eisert, Girod (1998) (3 citations) (Correct)
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J.K. Aggarwal and N. Nandhakumar, "On the Computation of Motion from Sequences of Images - A Review," Proc. IEEE, vol. 7b, no. 8, pp. 917-935, August 1988.
Differential Elastic Image Registration - Periaswamy, Farid (2001) (Correct)
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J. K. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images - a review. Proceedings of the IEEE, 76(8):917--935, 1988.
Differential Affine Motion Estimation for Medical.. - Periaswamy.. (2000) (Correct)
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J. K. Aggarwal and N. Nandhakumar, On the computation of motion from sequences of images - a review, Proceedings of the IEEE 76(8), pp. 917935, 1988.
Estimation of Image Motion in Scenes Containing Multiple Moving.. - Zheng (1995) (Correct)
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J.K. Aggarwal and N. Nandhakumar. " On the computation of motion from sequences of images - a review" Proc IEEE, Vol. 76, No. 8, pp. 917-935. 1988.
Motion-Based Object segmentation and estimation using the MDL .. - Zheng, Blostein (1995) (12 citations) (Correct)
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J.K Aggarwal and N. Nandhakumar. " On the computation of motion from sequences of images - a review" Proc IEEE, Vol. 76, No. 8, pp. 917-935. 1988.
Estimating Correspondence in Digital Video - Radke, Zagorodnov, Kulkarni.. (2001) (Correct)
No context found.
J. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images- a review. Proc. IEEE, 76(8):917--935, August 1988.
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